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Volumn 8, Issue , 2007, Pages 441-479

Value regularization and fenchel duality

Author keywords

Convex analysis; Duality; Kernel learning; Kernel machines; Optimization

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; FUNCTION EVALUATION; LOGIC PROGRAMMING; OPTIMIZATION; PROBLEM SOLVING;

EID: 33947245952     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (45)

References (35)
  • 7
    • 3142725535 scopus 로고    scopus 로고
    • Semi-supervised learning on riemannian manifolds
    • Mikhail Belkin and Partha Niyogi. Semi-supervised learning on riemannian manifolds. Machine Learning, 56:209-239, 2003.
    • (2003) Machine Learning , vol.56 , pp. 209-239
    • Belkin, M.1    Niyogi, P.2
  • 8
    • 31844446899 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from examples
    • Technical Report TR-2004-06, University of Chicago
    • Mikhail Belkin, Partha Niyogi, and Vikas Sindhwani. Manifold regularization: A geometric framework for learning from examples. Technical Report TR-2004-06, University of Chicago, 2004.
    • (2004)
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 11
    • 11744378648 scopus 로고
    • Atomic decomposition by basis pursuit
    • Technical Report 479, Stanford University Department of Statistics
    • Scott Shaobing Chen, David L. Donoho, and Michael A. Saunders. Atomic decomposition by basis pursuit. Technical Report 479, Stanford University Department of Statistics, 1995.
    • (1995)
    • Shaobing Chen, S.1    Donoho, D.L.2    Saunders, M.A.3
  • 12
    • 34249753618 scopus 로고
    • Support vector networks
    • Corinna Cortes and Vladimir Vapnik. Support vector networks. Machine Learning, 20:1-25, 1995.
    • (1995) Machine Learning , vol.20 , pp. 1-25
    • Cortes, C.1    Vapnik, V.2
  • 16
    • 0000249788 scopus 로고    scopus 로고
    • An equivalence between sparse approximation and support vecto machines
    • Federico Girosi. An equivalence between sparse approximation and support vecto machines. Neural Computation, 10:1455-1480, 1998.
    • (1998) Neural Computation , vol.10 , pp. 1455-1480
    • Girosi, F.1
  • 20
    • 34250122797 scopus 로고
    • Interpolation of scattered data: Distance matrices and conditionally positive functions
    • Charles A. Micchelli. Interpolation of scattered data: distance matrices and conditionally positive functions. Constructive Approximation, 2(1):11-22, 1986.
    • (1986) Constructive Approximation , vol.2 , Issue.1 , pp. 11-22
    • Micchelli, C.A.1
  • 21
    • 0025490985 scopus 로고
    • Networks for approximation and learning
    • September
    • Tomaso Poggio and Federico Girosi. Networks for approximation and learning. Proceedings of the IEEE, 78(9): 1481-1497, September 1990.
    • (1990) Proceedings of the IEEE , vol.78 , Issue.9 , pp. 1481-1497
    • Poggio, T.1    Girosi, F.2
  • 25
    • 33947235414 scopus 로고    scopus 로고
    • Unpublished phd thesis
    • Ben Recht. Unpublished phd thesis. 2006.
    • (2006)
    • Recht, B.1
  • 33
    • 0003241881 scopus 로고
    • Spline Models for Observational Data
    • of, Society for Industrial & Applied Mathematics
    • Grace Wahba. Spline Models for Observational Data, volume 59 of CBMS-NSF Regional Conference Series in Applied Mathematics. Society for Industrial & Applied Mathematics, 1990.
    • (1990) CBMS-NSF Regional Conference Series in Applied Mathematics , vol.59
    • Wahba, G.1
  • 35
    • 33947281307 scopus 로고    scopus 로고
    • Ji Zhu, Saharon Rosset, Trevor Hastie, and Rob Tibshirani. 1-norm support vector machines. In Neural Information Processing Systems, 2003.
    • Ji Zhu, Saharon Rosset, Trevor Hastie, and Rob Tibshirani. 1-norm support vector machines. In Neural Information Processing Systems, 2003.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.